TWI307484B - Image capture apparatus calibration system and method there - Google Patents
Image capture apparatus calibration system and method there Download PDFInfo
- Publication number
- TWI307484B TWI307484B TW095105830A TW95105830A TWI307484B TW I307484 B TWI307484 B TW I307484B TW 095105830 A TW095105830 A TW 095105830A TW 95105830 A TW95105830 A TW 95105830A TW I307484 B TWI307484 B TW I307484B
- Authority
- TW
- Taiwan
- Prior art keywords
- points
- image
- angle
- calibration
- plane
- Prior art date
Links
- 238000000034 method Methods 0.000 title claims description 22
- 238000012937 correction Methods 0.000 claims description 24
- 238000000605 extraction Methods 0.000 claims description 15
- 238000012545 processing Methods 0.000 claims description 7
- 239000000284 extract Substances 0.000 claims description 6
- 238000010586 diagram Methods 0.000 claims description 2
- 238000006073 displacement reaction Methods 0.000 claims description 2
- 239000003550 marker Substances 0.000 claims description 2
- 238000004519 manufacturing process Methods 0.000 claims 1
- 230000002452 interceptive effect Effects 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 238000010276 construction Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 230000002757 inflammatory effect Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- WPPDXAHGCGPUPK-UHFFFAOYSA-N red 2 Chemical compound C1=CC=CC=C1C(C1=CC=CC=C11)=C(C=2C=3C4=CC=C5C6=CC=C7C8=C(C=9C=CC=CC=9)C9=CC=CC=C9C(C=9C=CC=CC=9)=C8C8=CC=C(C6=C87)C(C=35)=CC=2)C4=C1C1=CC=CC=C1 WPPDXAHGCGPUPK-UHFFFAOYSA-N 0.000 description 1
- 238000012827 research and development Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/80—Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration
Landscapes
- Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Image Processing (AREA)
- Image Analysis (AREA)
- Length Measuring Devices By Optical Means (AREA)
Description
1307484 points corresponding to the image feature points may form a corner with known angle, two corners with unknown but equal angles, or two line segments with unknown but equal lengths. Convenience of the calibration system is therefore improved. 七、指定代表圖: Φ (一) 本案指定代表圖為:第(二)圖。 (二) 本代表圖之元件符號簡單說明:1307484 points corresponding to the image feature points may form a corner with known angle, two corners with unknown but equal angles, or two line segments with unknown but equal lengths. Convenience of the calibration system is therefore improved. (1) The representative representative of the case is: figure (2). (2) A brief description of the symbol of the representative figure:
2 :校正系統; 20:第一影像操取裝置; 201 :傾斜角.; 202,.南度; 21 :校正器具; :標示點; 212 :平面; 213 :已知長度; 214 :影像; 22 .特徵萃取單,元; 221 :影像特徵點;以及 23 :第一處理單元。 請揭示最能顯示發明特徵的化學式: 八、 本案若有化學式時, 九、 發明說明: 【發明所屬之技術領域】 方法’= :巧::影像擷取裳置之校正系統及 而簡便校正器狀校正系統及其方法 1307484 【先前技術】 目前,數位互動的技街曰 ;樂、互動教學及智慧型環境建;電玩 中,需要一個定位系統,得上在數位互動的過程 作,或是計算出一;|票示^异出使用者肢體的位置或動 件的移動或旋轉。:中、:定f及複數個標示點組成的物 裝置所組成’如攝影機。/ ^一般由複數個影像線取 以得到攝影機的==個==經過校正’ 被二個以上的攝影機所看到,便由可同時 為習知技藝=忿3=間座標。請參閱第-圖,其 包含攝影機10、校正5!呈'、、圖中’攝影機校正系統1 單元13及運算單元二厂直^、操取出的影像12、特徵萃取 10校正,其包含複數個校二考:票:::1:?:攝影機 參考標示點1Η之办門成/ /、”、 且母一個校正 取校正器具η之与i λ π &必須為已知。攝影機10擷 12中备;-衫像12,而特徵萃取單元13萃取出马傻 數:校二 i21。接著,運算單元= 其中,校正參考积示點衫機10之複數個空間參數。 一重要關鍵si素。‘ 工間座標之準確度為攝影機校正 時,正系統需要特製之校正器具,且進行校正 -旦攝影機的位置因; 影機--校正,十;的者:f之校正器具將所有攝 h的不讀。此外,在智慧型環境建構2: calibration system; 20: first image manipulation device; 201: tilt angle; 202, south; 21: correction instrument;: marker point; 212: plane; 213: known length; 214: image; Feature extraction unit, element; 221: image feature point; and 23: first processing unit. Please reveal the chemical formula that best shows the characteristics of the invention: VIII. If there is a chemical formula in this case, IX. Description of the invention: [Technical field of invention] Method '= : Qiao:: Correction system for image capture and simple corrector Shape correction system and method 1307484 [Prior Art] At present, digital interactive technology; music, interactive teaching and intelligent environment construction; in video games, a positioning system is required, which can be done in the process of digital interaction, or calculation One out;|The ticket shows the movement or rotation of the position or movement of the user's limb. : Medium, : Set f and a plurality of objects consisting of marked points, such as a camera. / ^ Generally taken by a plurality of video lines to get the camera == one == corrected] is seen by more than two cameras, and can be simultaneously known as the skill = 忿 3 = inter-coordinate. Please refer to the first figure, which includes the camera 10, the calibration 5! in ', the camera 'camera correction system 1 unit 13 and the arithmetic unit 2 factory, the processed image 12, the feature extraction 10 correction, which includes a plurality of The second test of the school: Ticket:::1:?: The camera refers to the marked point 1Η, the door becomes / /, ", and the mother corrects the correction tool η and i λ π & must be known. Camera 10撷12 The middle is prepared; the shirt is like 12, and the feature extraction unit 13 extracts the horse's number: the second is i21. Next, the arithmetic unit = where the correction reference accumulates a plurality of spatial parameters of the point machine 10. An important key is the prime. When the accuracy of the coordinates of the work is corrected by the camera, the system needs a special correction device, and the correction is made - the position of the camera is determined; the camera--correction, ten; the corrective device of f will not take all the h Reading. In addition, building in a smart environment
的就是在提供一種適用於影像 以提高影像擷取裝置校正之便 1307484 中,使用移動式攝影機為未來 較佳的是可動態進行,’因此’其校正方式 多待克服的_。 线應用在移動式攝影機上有許 有鑑於習知技藝之各頊 本發明人基於多年從事了能夠兼顧解決之’ 多實務經驗,提出-種只^置校正之研究開發與諸 正系統及其方法,以作為改===器具之影像擷取裝置校 勺又菩上述缺點之實現方式與依據。 【發明内容】 有鐘於此,本發明之目 掘取裝置之校正系統及其方法, 利性。 根據本發明之目的,祖山 ^ ^ x. ^ ^ 1 ^出一種適用於影像擷取裝置之 一、’:、包3 、义正器具、一特徵萃取單元及一處理單 兀。杈正器具具有複數個標示點,標示點位於同一平面上, 且標示點形成一已知長度之線段。特徵萃取單元(feature extract i on un i t)根據影像擷取裝置所擷取之此至少一影 像,以萃取出至少二個影像特徵點。處理單元根據至少三個 影像特徵點及已知長度’計算出此影像擷取裝置之對應此平 面之傾斜角及高度。其中’對應影像特徵點之標示點係形成 一個已知角度之夹角(corner with known angle)、二個未知 但相同角度之夾角(corner with unknown but equal angle) 或二個未知但相同長度之線段(line segment with unknown but equal length) ° 此外,本發明更提出一種校正方法,適用於於複數個 影像擷取裝置,該方法包含下列步驟: 1307484 (a) 設置複數個標示點,此些標示點位於同一平面上,且此 些標示點形成一已知長度之線段,及一個已知角度之夾角、二 個未知但相同角度之夾角或二個未知但相同長度之線段; (b) 選擇一未校正之影像擷取裝置,以擷取至少一具有此些 標示點之影像; (c) 從至少一影像萃取出至少三個對應於此些標示點之影 像特徵點; (d) 根據至少三個影像特徵點及已知長度,計算出影像擷取 裝置之對應平面之一傾斜角度及一高度; (e) 重複上述步驟(b)、步驟(c)、步驟(d),以計算所有影 像擷取裝置之傾斜角度及高度; (f) 判斷每二個該影像擷取裝置皆能觀看到之兩個標示 點,並根據此些標示點之影像特徵點及此些影像擷取裝置之傾 斜角度及高度,以計算影像擷取裝置之間之旋轉角度及位置移 位。 茲為使貴審查委員對本發明之技術特徵及所達到 之功效有更進一步之暸解與認識,謹佐以較佳之實施例 及配合詳細之說明如後。 【實施方式】 以下將參照相關圖式,說明依本發明較佳實施例之 影像擷取裝置校正系統及其方法,為使便於理解,下述實 施例中之相同元件係以相同之符號標示來說明。 請參閱第二圖,其係為本發明之校正系統之方塊示意 圖,此校正系統適用於一影像擷取裝置。圖中,校正系統2 包含校正器具21、特徵萃取單元22及第一處理單元23。校 正器具21具有複數個標示點211,標示點211位於同一平面 1307484 212。上,且標示點211形成一已知長度gig之線段。特徵萃 取單元22根據第一影像擷取裝置20所擷取之至少一具有標 =點211之影像214,以萃取出至少三個影像特徵點221。第 處理單元23根據至少三個影像特徵點221及已知長声 ,計算出第一影像擷取裝置20之對應此平面212之傾$ f 201及高度202。其中,校正器具21之複數個標示點形成 已知角度之夾角(cornei· with known but equal 二;同知但相同角度之炎角、或形成二個未 length)。長度線奴Uine Segment 紂让 Unk_ but equal 知,具21之標示點形成—夾角’且夾角之角度為未 器具21#徵萃取單元22根據影像擷取裝置20所擷取之校正 出i成^至少二個不同位置之影像,分別於多張影像中萃取 個標示駐f標不點之影像特徵點。例如校正器具21具有三 裝置2〇W二個標示點形成一未知角度之夾角,則影像擷取 像擷取裝¥^—影ΐ ’接著改變校正器具21之位置,影 —影像;^_再擷取第二影像,特徵萃取單元22分別於第 點。 一影像萃取出對應三個標示點之六個影像特徵 間點上標示點較佳的是影像上可辨識特徵點之對應空 製之桌子之桌角、放在桌上之紙張邊角或平面上所繪 =累邊角。影像擷取裝置20較佳的是攝影機。 器及红2,影像擷取裝置校正系統視需要可配置紅外線過濾 之鏡頭μ卜線發光裝置,紅外線過濾器設置於影像擷取裝置20 而標紅外線發光裝置設置於影像擷取裝置2〇之周圍, 於,傻μ為具有紅外光反射功能之物件。藉此,可使標示點 ^豕上之影像特徵點更清晰,減少周圍環境的干擾。In the case of providing a suitable image for improving the image capture device correction 1307484, the use of a mobile camera for the future is preferably dynamic, so that the correction method is to be overcome. The line application has been made on the mobile camera. In view of the various techniques of the prior art, the inventor has been engaged in research and development and the system and method based on the multi-practical experience that can be solved for many years. In order to change the === device image capture device, the method and basis for the above shortcomings. SUMMARY OF THE INVENTION In view of this, the calibration system and method of the object-boring device of the present invention are advantageous. According to the purpose of the present invention, Zushan ^ ^ x. ^ ^ 1 ^ is a suitable for image capturing device, ':, package 3, righteous instrument, a feature extraction unit and a processing unit. The correcting device has a plurality of marked points, the marked points are on the same plane, and the marked points form a line segment of a known length. The feature extracting unit (element extract i on un it) extracts at least two image feature points according to the at least one image captured by the image capturing device. The processing unit calculates the tilt angle and height of the image capturing device corresponding to the plane based on the at least three image feature points and the known length. Wherein the corresponding points of the corresponding image feature points form a corner with known angle, two corners with unknown but equal angles or two unknown but identical length segments. In addition, the present invention further provides a correction method suitable for a plurality of image capturing devices, the method comprising the following steps: 1307484 (a) setting a plurality of marking points, the marking points Located on the same plane, and the marked points form a line segment of known length, and an angle of a known angle, an angle of two unknown but the same angle or two segments of unknown but the same length; (b) choose one Aligning the image capturing device to capture at least one image having the marked points; (c) extracting at least three image feature points corresponding to the marked points from the at least one image; (d) according to at least three Calculating the tilt angle and a height of the corresponding plane of the image capturing device by the image feature point and the known length; (e) repeating the above steps (b) and steps ( c), step (d), to calculate the tilt angle and height of all image capturing devices; (f) determine that each of the two image capturing devices can view the two marked points, and according to the marked points The image feature points and the tilt angles and heights of the image capture devices are used to calculate the rotation angle and positional displacement between the image capture devices. For a better understanding of the technical features of the present invention and the efficacies of the present invention, the preferred embodiments and the detailed description are as follows. [Embodiment] Hereinafter, an image capturing device correction system and a method thereof according to a preferred embodiment of the present invention will be described with reference to the related drawings. For ease of understanding, the same components in the following embodiments are denoted by the same reference numerals. Description. Please refer to the second figure, which is a block diagram of the calibration system of the present invention, which is suitable for an image capturing device. In the figure, the correction system 2 includes a correction instrument 21, a feature extraction unit 22, and a first processing unit 23. The correcting device 21 has a plurality of marking points 211 which are located on the same plane 1307484 212. Above, and the marked point 211 forms a line segment of a known length gig. The feature extracting unit 22 extracts at least three image feature points 221 according to at least one image 214 having the target = point 211 captured by the first image capturing device 20. The processing unit 23 calculates the tilting amount f f 201 and the height 202 of the first image capturing device 20 corresponding to the plane 212 according to the at least three image feature points 221 and the known long sound. Wherein, the plurality of marked points of the correcting instrument 21 form an angle of a known angle (cornei·with known but equal two; the same is true but the same angle of the inflammatory angle, or two non-length). The length line slave Uine Segment 纣 Let Unk_ but equal know that the marked point of 21 is formed - the angle 'and the angle of the angle is not the appliance 21# The extraction unit 22 corrects according to the image capturing device 20 to obtain at least ^ Two images of different positions are extracted from a plurality of images to identify image feature points indicating no points in the f mark. For example, the correcting device 21 has three devices 2〇W and two marked points form an angle of an unknown angle, and the image capturing image captures the image and then changes the position of the correcting device 21, and the image is imaged; The second image is captured, and the feature extraction unit 22 is at the first point. An image is extracted from the six image features corresponding to the three marked points. The point on the point is preferably the table corner of the corresponding empty table on the image, the corner or plane of the paper placed on the table. Painted = tired corners. Image capture device 20 is preferably a camera. And red 2, image capturing device correction system can be configured with infrared filtering lens illuminating device as needed, infrared filter is disposed in image capturing device 20, and standard infrared illuminating device is disposed around image capturing device 2 , Yu, silly μ is an object with infrared light reflection function. Thereby, the image feature points on the marked points can be made clearer, and the interference of the surrounding environment can be reduced.
Claims (1)
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
TW095105830A TWI307484B (en) | 2006-02-21 | 2006-02-21 | Image capture apparatus calibration system and method there |
US11/483,542 US20070196016A1 (en) | 2006-02-21 | 2006-07-11 | Calibration system for image capture apparatus and method thereof |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
TW095105830A TWI307484B (en) | 2006-02-21 | 2006-02-21 | Image capture apparatus calibration system and method there |
Publications (2)
Publication Number | Publication Date |
---|---|
TW200733005A TW200733005A (en) | 2007-09-01 |
TWI307484B true TWI307484B (en) | 2009-03-11 |
Family
ID=38428241
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
TW095105830A TWI307484B (en) | 2006-02-21 | 2006-02-21 | Image capture apparatus calibration system and method there |
Country Status (2)
Country | Link |
---|---|
US (1) | US20070196016A1 (en) |
TW (1) | TWI307484B (en) |
Families Citing this family (21)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8139115B2 (en) * | 2006-10-30 | 2012-03-20 | International Business Machines Corporation | Method and apparatus for managing parking lots |
EP2166510B1 (en) * | 2008-09-18 | 2018-03-28 | Delphi Technologies, Inc. | Method for calculating the position and orientation of a camera in a vehicle |
GB2465793A (en) * | 2008-11-28 | 2010-06-02 | Sony Corp | Estimating camera angle using extrapolated corner locations from a calibration pattern |
US11699247B2 (en) * | 2009-12-24 | 2023-07-11 | Cognex Corporation | System and method for runtime determination of camera miscalibration |
US9412164B2 (en) | 2010-05-25 | 2016-08-09 | Hewlett-Packard Development Company, L.P. | Apparatus and methods for imaging system calibration |
KR20120053713A (en) * | 2010-11-18 | 2012-05-29 | 에스엘 주식회사 | Apparatus and method for controlling a vehicle camera |
TWI426775B (en) * | 2010-12-17 | 2014-02-11 | Ind Tech Res Inst | Camera recalibration system and the method thereof |
CN102045548A (en) * | 2010-12-28 | 2011-05-04 | 天津市亚安科技电子有限公司 | Method for controlling automatic zoom of PTZ (pan/tilt/zoom) camera |
WO2014055909A2 (en) * | 2012-10-05 | 2014-04-10 | Beckman Coulter Inc. | System and method for camera-based auto-alignment |
WO2014099104A1 (en) | 2012-12-21 | 2014-06-26 | Beckman Coulter, Inc. | System and method for laser-based auto-alignment |
TWI509346B (en) * | 2013-06-27 | 2015-11-21 | Etron Technology Inc | Calibration device applied to an image capture system and related calibration method thereof |
JP6389275B2 (en) * | 2014-12-09 | 2018-09-12 | 旭化成株式会社 | Position / orientation detection device and position / orientation detection program |
CN104836960B (en) * | 2015-05-29 | 2017-12-08 | 京东方科技集团股份有限公司 | A kind of image capturing system and image-pickup method |
JP6636314B2 (en) * | 2015-12-21 | 2020-01-29 | 公立大学法人大阪 | Camera calibration system, camera calibration program, and camera calibration method |
CN105973204B (en) * | 2016-04-25 | 2018-04-20 | 中国测绘科学研究院 | A kind of mobile target with high precision plane coordinates real time acquiring method |
CN107564062B (en) * | 2017-08-16 | 2020-06-19 | 清华大学 | Pose abnormity detection method and device |
EP3451650B1 (en) * | 2017-08-29 | 2020-01-08 | Axis AB | A method of calibrating a direction of a pan, tilt, zoom, camera with respect to a fixed camera, and a system in which such a calibration is carried out |
CN110969662B (en) * | 2018-09-28 | 2023-09-26 | 杭州海康威视数字技术股份有限公司 | Method and device for calibrating internal parameters of fish-eye camera, calibration device controller and system |
KR102619271B1 (en) * | 2018-11-01 | 2023-12-28 | 한화비전 주식회사 | Video capturing device including plurality of cameras and video capturing system including the same |
CN110030979B (en) * | 2019-03-11 | 2020-11-20 | 北京空间飞行器总体设计部 | Spatial non-cooperative target relative pose measurement method based on sequence images |
JP2022006912A (en) * | 2020-06-25 | 2022-01-13 | キヤノン株式会社 | Control apparatus, image pickup apparatus, monitoring system, and control method |
Family Cites Families (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5259037A (en) * | 1991-02-07 | 1993-11-02 | Hughes Training, Inc. | Automated video imagery database generation using photogrammetry |
US5525883A (en) * | 1994-07-08 | 1996-06-11 | Sara Avitzour | Mobile robot location determination employing error-correcting distributed landmarks |
US5699444A (en) * | 1995-03-31 | 1997-12-16 | Synthonics Incorporated | Methods and apparatus for using image data to determine camera location and orientation |
US5734337A (en) * | 1995-11-01 | 1998-03-31 | Kupersmit; Carl | Vehicle speed monitoring system |
US6195455B1 (en) * | 1998-07-01 | 2001-02-27 | Intel Corporation | Imaging device orientation information through analysis of test images |
-
2006
- 2006-02-21 TW TW095105830A patent/TWI307484B/en active
- 2006-07-11 US US11/483,542 patent/US20070196016A1/en not_active Abandoned
Also Published As
Publication number | Publication date |
---|---|
US20070196016A1 (en) | 2007-08-23 |
TW200733005A (en) | 2007-09-01 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
TWI307484B (en) | Image capture apparatus calibration system and method there | |
JP4147059B2 (en) | Calibration data measuring device, measuring method and measuring program, computer-readable recording medium, and image data processing device | |
US10083522B2 (en) | Image based measurement system | |
JP4508049B2 (en) | 360 ° image capturing device | |
TWI239199B (en) | Method of aligning lens and sensor of camera | |
CN106887023A (en) | For scaling board and its scaling method and calibration system that binocular camera is demarcated | |
JP4824022B2 (en) | How to prepare composite images with non-uniform resolution | |
CN107886547B (en) | Fisheye camera calibration method and system | |
WO2009056050A1 (en) | Video camera calibration method and device thereof | |
TW202022809A (en) | Depth camera calibration device and method thereof | |
CN109961485A (en) | A method of target positioning is carried out based on monocular vision | |
JP2003307466A (en) | Apparatus, method and chart for calibration as well as result diagnostic device | |
CN102136140B (en) | Rectangular pattern-based video image distance detecting method | |
Kim et al. | Color and depth image correspondence for Kinect v2 | |
CN103795935B (en) | A kind of camera shooting type multi-target orientation method and device based on image rectification | |
CN111627073B (en) | Calibration method, calibration device and storage medium based on man-machine interaction | |
CN110136205B (en) | Parallax calibration method, device and system of multi-view camera | |
JP2014060324A (en) | Calculation device, transfer robot system, and calculation method | |
TWI752089B (en) | length measuring device | |
CN109191527A (en) | A kind of alignment method and device based on minimum range deviation | |
CN105043252A (en) | Image processing based size measuring method without reference object | |
Portalés et al. | An efficient projector calibration method for projecting virtual reality on cylindrical surfaces | |
Criminisi et al. | Did the great masters use optical projections while painting? Perspective comparison of paintings and photographs of Renaissance chandeliers | |
JP2010283466A (en) | Stereo image photographing device, and method therefor | |
CN107527323B (en) | Calibration method and device for lens distortion |